ADMM Based Regularized Optimization for Reconstruction of Digital In-line Holography

Abstract

Compressed sensing is effective in twin image removal of in-line holograms, but has slower convergence and higher computational time. Proposed method suppresses twin images by solving an inverse problem using ADMM and offers better convergence.